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In document PRAYER TO THE HOLY SPIRIT (página 30-36)

In conclusion, results of the four-city case study of bus access confirm findings from prior research on urban service delivery that both professional norms and underclass bias are present in service delivery decisions. As well, government form may impact the extent to which public bureaucracies are subject to external pressure from the political arena. In Charlotte and Asheville, with the exception of lower-income neighborhoods, transit-dependent

neighborhoods do receive better bus access, which is likely due to a professional bureaucracy. In Richmond and Mobile, transit-dependent neighborhoods defined by ethnicity and income receive worse access than other neighborhoods, which may be a function of politicized decision-making in Richmond but which is not related to city government structure in Mobile.

Opportunities for Future Research

One opportunity for further research raised in this study is

operationalization of the dependent variable. As discussed in the design section, bus access is a multi-faceted variable. The LITA encompasses three key

components of access – frequency, capacity, coverage – but does not include other aspects that may be important to bus riders. These other aspects include safety, cleanliness, timeliness, availability of shelters and benches at bus stops, number of transfers required to reach a destination, and topographical as well as

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)"#! physical barriers to bus stop access. In fact casual discussions with individual bus riders in various cities lead me to believe that these other factors often

determine whether or not someone will choose to ride the city bus. However, the ability to collect data on these other factors in a timely manner is challenging. Many transit agencies collect data on safety violations and timeliness but not in a standardized format. Likewise many agencies have information on the location of shelters and benches yet compiling this information in each census tract would be time consuming. Calculating the number of transfers from certain origins to certain destinations would be time consuming as would noting all the

topographical and physical barriers to bus stops. Yet all of these endeavors would be worthwhile for further research. In addition, bus rider surveys would be a valid way to triangulate which aspects of bus service are the most valued by riders.

A second opportunity for further investigation is the level of resolution in the unit of analysis. Census tract is a logical unit for the reasons discussed in the methodology section; however, certain census tracts may encompass several miles of land area that may result in overestimation of bus access for a particular tract. For example, a census tract may have multiple bus routes and stops but if they are all located in one section of the tract that is not walking distance from all parts of the tract, the LITA score for that tract may be skewed. Census blocks, block groups, or traffic analysis zones, which encompass smaller geographic areas than census tracts, may be more suitable units of analysis. Yet data availability for these smaller units is problematic. Devising a procedure to

! )"$! overlay data from the tract level onto smaller geographic units may be a

promising approach for using a different unit of analysis.

Data availability raises a third area for future research. In this study there is a nine-year mismatch between the dependent and independent variables because the independent variables are from Census 2000 whereas the LITA is calculated with data from 2009. The only exception is Charlotte, where the LITA was calculated from 2006 data so as to pre-date introduction of light rail in the City. Bus stop and route date from 2000 were not available in each city;

therefore, the second best option was to use the data that were available. The American Community Survey of the Census Bureau provides updates to Census 2000 data in between the decennial census years, but these data are not

available at the census tract level. Re-doing the study when results of the 2010 Census become available and concurrent with new stop and route data would be ideal to capture any changes in neighborhood composition that occur between decennial census data.

Finally, expanding the research to include an examination of the

relationship between local funding for transit and the level of access on an intra- city basis would add to the understanding of comparative levels of access. For example, some municipalities such as Charlotte, NC have implemented an incremental sales tax dedicated to transit funding whereas other cities may be more dependent on federal funding. Analysis of local funding arrangements, which may be an indication of transit preference by local residents, might impact

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)"%! whether the city has resources to fund adequate mobility in transit-dependent neighborhoods.

Design Issues

A limitation with the research design is the case study approach. As discussed above, a random sample of neighborhoods would be a preferable method of comparing service delivery. The results of city studies are not directly generalizable to comparable cities. The results are what Yin (2003) calls

“analytic” rather than statistical generalization. In fact all studies on urban service delivery suffer from this limitation. Yet from a public policy perspective, results that confirm or disprove the hypothesis on bus service may be interesting to transit agencies in general and may prompt further research into specific cities and bus systems.

Further, the research design is limited in that it does not consider bus systems that are owned by special purpose governments or public authorities. This design approach is due to theoretical reasons. Because the body of literature on urban service delivery does not consider the impact of public

authorities, it is important to research bus service from a similar perspective. Yet unlike police and fire protection and parks and libraries, public transportation is a public good that is often provided by public authorities. Further research should develop a theory and empirically test urban service delivery on a neighborhood basis from a public authority perspective and compare these results with the results for city bus systems.

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"#$! APPENDIX A: QUESTIONS FOR BUS PLANNERS AND ELECTED OFFICIALS

AND CONFIDENTIALITY FORM

Questions for professional bus route planners:

1) Will you describe the process used for determining bus routes and stops in the [City of Asheville]?

2) What factors are taken into account when determining new routes or

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